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DeepSeek-V3.2-Exp vs Mistral Small
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp offers 163.8K more tokens in context window than Mistral Small. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Mistral AI
Mistral Small is a language model developed by Mistral AI. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
1 year newer
Mistral Small
Mistral AI
2024-09-17
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41($0.12 cheaper)
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Mistral Small
Input:$0.20
Output:$0.60
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:66.1%(+66.1%)
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Mistral Small
Average Score:0.0%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Mistral Small
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DeepSeek-V3.2-Exp
Avg Score:66.1%(+66.1%)
Providers:2
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Mistral Small
Avg Score:0.0%
Providers:1